@article{4549,
  author = {Omri Mohamed Nazih},
  title = {Fuzzy Ontology-based Identification and Interpretation of Uncertain and Imprecise Novice User Requests Approach},
  journal = {Journal of Digital Information Management},
  year = {2025},
  volume = {23},
  number = {3},
  doi = {https://doi.org/10.6025/jdim/2025/23/3/171-189},
  url = {https://www.dline.info/fpaper/jdim/v23i3/jdimv23i3_2.pdf},
  abstract = {Assistance with the use of technical devices is required as soon as the tasks become complex. This assistance
is also needed as soon as we provide users with solutions to incidents that occur during the application of
unsuitable procedures. The goal of this work is then to provide a knowledge extraction approach that can
interpret and identify user requests as valid system requests, thereby responding appropriately to novice
user requests. This approach is based on a fuzzy semantic network for modelling imprecise and uncertain
knowledge and the automatic construction of a temporary fuzzy ontology for identifying and interpreting
user requests. The proposed approach has the advantage of integrating the notion of uncertain and imprecise
knowledge into the representation of system objects and procedures. The experimental results show the
feasibility, efficiency and effectiveness of our approach.},
}